E-learning and intelligent content adaptation: an integrated approach

It is a common fact that modern e-learning schemes lack educational content representation and user personalisation. In this framework, automated extraction of user profiles, to be used in an e-learning content offering system, forms an interesting and important problem. In this approach we present the design and implementation of such a profile-based system, by which content is matched to its environmental context, so that it can be adapted to its user's needs and capabilities. Current effort extends previous work on profile extraction via clustering techniques and on integrated e-learning systems. It relies on the fundamental IEEE e-learning model, suitably adapted to reflect and focus on profiling aspects of the system.

[1]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[2]  Ronald J. Leach.  Introduction to software engineering , 2000 .

[3]  Kostas Karpouzis,et al.  The Electronic Road: Personalized Content Browsing , 2003, IEEE Multim..

[4]  Thomas Zacharias.  E-Mail-Services , 2000 .

[5]  Demetrios G. Sampson,et al.  An Architecture for Web-based e-Learning Promoting Re-usable Adaptive Educational e-Content , 2002, J. Educ. Technol. Soc..

[6]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[7]  Giorgos B. Stamou,et al.  Towards a context aware mining of user interests for consumption of multimedia documents , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[8]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[9]  Stefanos D. Kollias,et al.  Using k-Nearest Neighbor and Feature Selection as an Improvement to Hierarchical Clustering , 2004, SETN.

[10]  Diane J. Hanson,et al.  E-Learning: Strategies for Delivering Knowledge in the Digital Age , 2003, J. Educ. Technol. Soc..

[11]  Ron Kohavi,et al.  Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology , 1995, KDD.

[12]  Stefanos D. Kollias,et al.  Towards a personalized e-learning scheme for teachers , 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

[13]  Georgios Paliouras,et al.  Discovering user communities on the Internet using unsupervised machine learning techniques , 2002, Interact. Comput..

[14]  Ronald R. Yager.  Intelligent control of the hierarchical agglomerative clustering process , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[15]  Adalet Serengül Güven Smith.  Application of machine learning algorithms in adaptive web-based information systems , 1999 .

[16]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[17]  David G. Stork,et al.  Pattern Classification , 1973 .

[18]  S. Kollias,et al.  Soft Attribute Selection for Hierarchical Clustering in High Dimensions , 2003 .

[19]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[20]  M. Larkin,et al.  Websites , 2001 .